Data Scientist Intern

Bukit Merah, Singapore
$1,800 per month
Training
Full-time

2 months ago

Univers provides the world’s most comprehensive decarbonization system.We help companies and countries optimize energy systems and reduce carbon emissions with accurate, reliable, and actionable decarbonization data. Our EnOS (Energy and Environment Operating System) platform connects on-the-ground operational technology and in-the-cloud intelligence to deliver real-time energy data and data-driven carbon monitoring, reporting, and abatement.With 220 million sensors and smart devices connected, 550GW of renewable energy under management, and a community of over 500 customers, we’re helping the world’s leading businesses get the world to net zero—and what comes after it.For more information, please visitJob DescriptionJob OverviewWe are looking for Data Scientist intern who will work with the team to develop algorithm package to deliver data-analytical services and products for our clients on top of EnOS platform. The ideal candidate should be adept of using a variety of ML/AI models, from traditional statistical learning models to deep-learning models, to address various data-driven requirements. They should have the experiences in data exploration, model design, implementation, and tuning and delivery modelling results to stakeholders. They must be comfortable working with a wide range of stakeholders and functional teams. Last but not least, the passion for data science is strongly preferred especially for those who are interested in applying the cutting-edge AI/ML technologies to improve daily productivity.Major Responsibilities

Work with team and stakeholders to implement data-analytical packages for clients in multiple domains.
Perform data exploration in depth and design/implement novel algorithms to address data analytical challenges.
Work closely with other platform teams to deliver integrated products or solutions.

Qualifications

Excellent understanding of general machine learning techniques and popular models (linear regression, SVM, XGBoost/LightGBM, etc.), and basic deep-learning models.
Experience with development tools like Python, NumPy/Pandas, Scikit-learn and one deep-learning framework (Tensorflow / Keras / PyTorch).
Experience with data exploration tool and data visualization tool, such as matplotlib, Echarts, etc.
Experience with SQL/NoSQL databases will be desired.
Excellent written and verbal communication skills for coordinating across teams.

Application InstructionsPlease apply for this position by submitting your text CV using InternSG.
Kindly note that only shortlisted candidates will be notified.Open to Full-time Internship Only, with at least 6months commitment
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